The long‐term influence of wind and temperature on performance and degradation within an utility‐scale photovoltaic plant

Abstract An inverter‐level analysis of a large photovoltaic (PV) plant is evaluated over four years to investigate the long‐term performance and degradation caused by wind and temperature effects. The multi‐megawatt utility‐scale PV plant is located in a semi‐arid region in South Africa. The degradation rate is determined using the performance ratio as a comparison metric between the different inverters. The degradation from the first year of operation up to the fourth year shows that different areas of the PV plant have varying degradation rates. The spatial degradation analysis indicates that inverter blocks operating at higher ambient temperatures and lower wind frequency measurements show higher rates of degradation compared to inverter groups operating at lower temperatures and higher wind frequency. Notably, the lowest degradation rates correlate positively with wind direction and frequency from the North and North‐East, indicative of a cooling influence on the PV modules. The weather‐corrected performance analysis indicates that the most prominent wind direction (North) has the highest mean performance ratio, further supporting the claims that the cooling effect of wind improves performance and efficiency. The widening gap between the best‐ and worst‐performing inverters annually underscores the premise that specific inverters' PV modules degrade at disparate rates within the PV plant. The results of this work present future designs of PV plants that could potentially be optimised to take advantage of wind as a cooling tool, which may further enhance the longevity and sustainability of large PV installations.

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Publication Details

Journal
IET Renewable Power Generation
Published
2024-12-16
DOI
https://doi.org/10.1049/rpg2.13182
Citations
3
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.31
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article

The long‐term influence of wind and temperature on performance and degradation within an utility‐scale photovoltaic plant

Arnold Rix, Francisca Muriel Daniel‐Durandt
3 citations
IET Renewable Power Generation
Photovoltaic System Optimization Techniques
0.31
article

The long‐term influence of wind and temperature on performance and degradation within an utility‐scale photovoltaic plant

Arnold Rix, Francisca Muriel Daniel‐Durandt
article en
3 citations

Abstract

Abstract An inverter‐level analysis of a large photovoltaic (PV) plant is evaluated over four years to investigate the long‐term performance and degradation caused by wind and temperature effects. The multi‐megawatt utility‐scale PV plant is located in a semi‐arid region in South Africa. The degradation rate is determined using the performance ratio as a comparison metric between the different inverters. The degradation from the first year of operation up to the fourth year shows that different areas of the PV plant have varying degradation rates. The spatial degradation analysis indicates that inverter blocks operating at higher ambient temperatures and lower wind frequency measurements show higher rates of degradation compared to inverter groups operating at lower temperatures and higher wind frequency. Notably, the lowest degradation rates correlate positively with wind direction and frequency from the North and North‐East, indicative of a cooling influence on the PV modules. The weather‐corrected performance analysis indicates that the most prominent wind direction (North) has the highest mean performance ratio, further supporting the claims that the cooling effect of wind improves performance and efficiency. The widening gap between the best‐ and worst‐performing inverters annually underscores the premise that specific inverters' PV modules degrade at disparate rates within the PV plant. The results of this work present future designs of PV plants that could potentially be optimised to take advantage of wind as a cooling tool, which may further enhance the longevity and sustainability of large PV installations.

IET Renewable Power GenerationVol. 19(1)
Stellenbosch University (ZA)
Responsible consumption and production
Openalex Percentile: Top 51%
Photovoltaic System Optimization Techniques
0.31
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